Triple
T34152377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wenzhou-Kean University campus |
E876033
|
entity |
| Predicate | instructionStyle |
P44259
|
FINISHED |
| Object | American classroom pedagogy |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: American classroom pedagogy | Statement: [Wenzhou-Kean University campus, instructionStyle, American classroom pedagogy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: instructionStyle Context triple: [Wenzhou-Kean University campus, instructionStyle, American classroom pedagogy]
-
A.
commandStyle
Indicates the manner or approach in which one entity issues commands or directives to another.
-
B.
courseStyle
chosen
Indicates the manner, format, or pedagogical approach in which a course is delivered or conducted.
-
C.
instructionMode
Indicates the method or medium through which an instruction, lesson, or teaching activity is delivered.
-
D.
operatorStyle
Indicates the manner or approach an operator uses to perform or manage an operation, such as their method, technique, or behavioral style in carrying out tasks.
-
E.
passingStyle
Indicates the manner or technique by which something (typically a ball or object) is passed from one entity to another.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349abaa508190a820f206620efddc |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:54 a.m.